Invention Grant
- Patent Title: Recurrent neural networks and systems for decoding encoded data
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Application No.: US16683217Application Date: 2019-11-13
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Publication No.: US11424764B2Publication Date: 2022-08-23
- Inventor: Fa-Long Luo
- Applicant: MICRON TECHNOLOGY, INC.
- Applicant Address: US ID Boise
- Assignee: MICRON TECHNOLOGY, INC.
- Current Assignee: MICRON TECHNOLOGY, INC.
- Current Assignee Address: US ID Boise
- Agency: Dorsey & Whitney LLP
- Main IPC: H03M13/00
- IPC: H03M13/00 ; H03M13/15 ; G06N3/04 ; G06F7/544 ; H03M13/11

Abstract:
Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent neural networks to decode encoded data (e.g., data encoded using one or more encoding techniques). The neural networks and/or recurrent neural networks have nonlinear mapping and distributed processing capabilities which are advantageous in many systems employing the neural network decoders and/or recurrent neural networks. In this manner, neural networks or recurrent neural networks described herein are used to implement error correction coding (ECC) decoders.
Public/Granted literature
- US20210143840A1 RECURRENT NEURAL NETWORKS AND SYSTEMS FOR DECODING ENCODED DATA Public/Granted day:2021-05-13
Information query
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